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Cartographic model of river basins of European Russia

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Abstract

An analysis made of the worldwide existing geoinformation systems (HydroSHEDS, CCM, Ecrins, WBD, etc.) suggests that there are as yet no models of adequate quality for the basin boundaries of small rivers in the European part of Russia. For the territory of the European part of Russia with a total area of more than 4 mln. km2 the GIS technology tools were used to construct the electron vector map of river basins and their interbasin spaces. The map thus obtained displays the basins of first-order rivers for a given level of generalization (sc 1:1 000 000). The GMTED2010 model was used as the digital elevation model. A total of 63 553 basin geosystems were identified on the map, averaging 68 km2 in area. Accuracy verification of identifying the basin boundaries showed a good agreement of areal and geometric characteristics of the method used with expert approach. In test areas, the men difference of the indicators of the area of the basins identified automatically and by use of the expert approach made up 3.6%. For areas with weakly dissected lowland topography this error does not exceed 5% while it is about 2% in areas with relatively dissected elevated topography. The basin geosystems thus identified are operational-territorial units with respect to which the geospatial data base is generated to characterize the natural-resource potential of the European territory of Russia. An example is provided for the generation of the geospatial database containing hydrological information covering 1763 hydrological stations collecting streamflow data.

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References

  1. Lehner, B., Verdin, K. and Jarvis, A, New Global Hydrography Derived From Spaceborne Elevation Data, Eos TAGU, 2008, vol. 89, issue 10, pp. 93–94.

    Article  Google Scholar 

  2. Lehner, B., HydroBASINS. Global Watershed Boundaries and Sub-basin Delineations Derived From HydroSHEDS Data at 15 Second Resolution. Technical Documentation Version 1.c (With and Without Inserted Lakes). URL: http://hydrosheds.org/images/inpages/HydroBASINS_TechDoc_v1c.pdf (Accessed February 2,2016).

    Google Scholar 

  3. Vogt, J.V., Colombo, R., Paracchini, M.L., de Jager, A., and Soille, P., CCM River and Catchment Database, Version 1.0. Report EUR 20756 EN, European Commission–Joint Research Centre, Ispra, 2003. URL: http://agrienv.jrc.ec.europa.eu/publications/pdfs/CCM1-Report-EUR20756EN-2003.pdf (Accessed February 2, 2016).

    Google Scholar 

  4. Vogt, J.V., Soille, P., de Jager, A., Rimavi, E., Mehl, W., Foisneau, S., Bódis, K., Dusart, J., Paracchini, M.L., Haastrup, P., and Bamps, C., A Pan-European River and Catchment Database. Report EUR 22920, European Commission–Joint Research Centre, Ispra, 2007. URL: http://ccm.jrc.ec.europa.eu/documents/CCM2-Report_EUR-22920-EN_2007_STD.pdf (Accessed February 5, 2016).

    Google Scholar 

  5. Vogt, J.V., Colombo, R. and Bertolo, F, Deriving Drainage Networks and Catchment Boundaries. A New Methodology Combining Digital Elevation Data and Environmental Characteristics, Geomorphology, 2003, vol. 53, issues 3–4, pp. 281–298.

    Article  Google Scholar 

  6. Strahler, A.N, Quantitative Analysis of Watershed Geomorphology, Eos TAGU, 1957, vol. 38, issue 6, pp. 913–920.

    Google Scholar 

  7. Strahler, A.N, Hypsometric (Area-Altitude) Analysis of Erosional Topology, GSA Bull., 1952, vol. 63, issue 11, pp. 1117–1142.

    Article  Google Scholar 

  8. Filosofov, V.P. and Denisov, S.V, Concerning the Order of River Valleys and Their Association With Tectonics, Proc. First Inter-Agency Meet. On the Morphometric Method of Searching for Tectonic Structures “Morphometric Method in Geological Investigations” (February 1–4, 1961, Saratov), A.A. Korzhenevskii and V.P. Filosofov, Eds, Saratov: Sarat. Univ., 1963, pp. 35–47 [in Russian].

    Google Scholar 

  9. Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) (4 ed.): Techniques and Methods 11–A3. U. S. Geological Survey and U. S. Department of Agriculture, Natural Resources Conservation Service, 2013. URL: http://pubs.usgs.gov/tm/11/a3/(Accessed February 3, 2016).

  10. Gesch, D.B., Oimoen, M.J. and Evans, G.A., Accuracy Assessment of the U. S. Geological Survey National Elevation Dataset, and Comparison With Other Large-Area Elevation Datasets–SRTM and ASTER, U. S. Geological Survey Open-File Report 2014–1008, 2014. URL: http://dx.doi.org/10.3133/ofr20141008 (Accessed February 3, 2016).

  11. Ermolaev, O.P., Erosion in Basin Geosystems, Kazan: UNIPRESS, 2002 [in Russian].

    Google Scholar 

  12. Lisetskii, F.N., Pavlyuk, Ya.V., Kirilenko, Zh.A., and Pichura, V.I, Basin Organization of Nature Management for Solving Hydroecological Problems, Russ. Meteorol. Hydrol., 2014, vol. 39, issue 8, pp. 550–557.

    Article  Google Scholar 

  13. Rysin, I.I., Gully Erosion in Udmurtia, Izhevsk: Udmurt. Univ.,1998 [in Russian].

    Google Scholar 

  14. Antipov, A.N., Gagarinova, O.V., Ilyicheva, E.A., Korytny, L.M., Sinyukovich, V.N., Abasov, N.V., and Berezhnykh, T.V., The Geographical Regularities of Hydrological Processes in the South of East Siberia, Irkutsk: IG SORAN, 2003 [in Russian].

    Google Scholar 

  15. Korytny, L.M., Basin Approach in Nature Management, Irkutsk: IG SORAN,2001 [in Russian].

    Google Scholar 

  16. Simonov, Yu.G., Borsuk, O.A. and Spasskaya, I.I, Morphometry of River Basins, in Some Results and Prospects for Study, Moscow: Mosk. Univer., 1981, pp. 39–53 [in Russian].

    Google Scholar 

  17. Simonov, Yu.G. and Simonova, T.Yu., River Basin and Basin Organization of the Landscape Geosphere, in Soil Erosion and Channel Processes, R.S. Chalov, Ed., 2004, no. 14, pp. 7–32 [in Russian].

    Google Scholar 

  18. Danielson, J.J. and Gesch, D.B., Global Multi-Resolution Terrain Elevation Data 2010 (GMTED2010), Open-File Report 2011–1073, Reston: U. S. Geological Survey, 2011.

    Google Scholar 

  19. Farr, T.G., Rosen, P.A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick M., Paller M., Podriguez E., Roth L., Seal D., Shaffer S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf, D, The Shuttle Radar Topography Mission, Rev. Geophys., 2007, vol. 45, issue 2. URL: http://onlinelibrary.wiley.com/doi/10.1029/2005RG000183/pdf (Accessed January 29, 2016).

    Google Scholar 

  20. Rodriguez, E., Morris, C.S., Belz, J., Chapin, E., Martin, J., Daffer, W., and Hensley, S., An Assessment of the SRTM Topographic Products, Technical Report JPL D-31639, Pasadena: Jet Propulsion Laboratory, 2005.

    Google Scholar 

  21. Aster GDEM Data. URL: http://gdem.ersdac. jspacesystems.or.jp/search.jsp (Accessed April 3, 2014).

  22. Gesch, D.B, The Effects of DEM Generalization Methods on Derived Hydrologic Features, in Spatial Accuracy Assessment: Land Information Uncertainty in Natural Resources, K. Lowell and A. Jaton, Eds., Chelsea: Ann Arbor Press, 1999, pp. 255–262.

    Google Scholar 

  23. Danielson, J. J. and Gesch, D.B, An Enhanced Global Elevation Model Generalized From Multiple Higher Resolution Source Datasets, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, 2008, vol. XXXVII, part B4, pp. 1857–1863.

    Google Scholar 

  24. Mal’tsev, K.A. and Yermolayev, O.P, Using DEMs for Automatic Plotting of Catchments, Geomorfologiya, 2014, no. 1, pp. 45–53 [in Russian].

    Google Scholar 

  25. Ermolaev, O.P., Mal’tsev, K.A. and Ivanov, M.A, Automated Construction of the Boundaries of Basin Geosystems for the Volga Federal District, Geogr. Nat. Resour., 2014, vol. 35, issue 3, pp. 222–228.

    Article  Google Scholar 

  26. Pogorelov, A.V. and Dumit, Zh.A., Topography of the Kuban’ River Basin: Morphological Analysis, Moscow: GEOS, 2009 [in Russian].

    Google Scholar 

  27. O’Callaghan, J.F. and Mark, D.M, The Extraction of Drainage Networks From Digital Elevation Data, Comput. Vis. Graph. Image Process., 1984, vol. 28, issue 3, pp. 323–344.

    Article  Google Scholar 

  28. Lindsay, J.B, The Whitebox Geospatial Analysis Tools Project and Open-Access GIS, Proc. GIS Research UK22nd Annual Conference, The University of Glasgow, 16–18 April 2014. URL: https://whiteboxgeospatial.files.wordpress.com/2014/04/john-lindsay-gisruk-paper.pdf (Accessed January 20, 2016).

    Google Scholar 

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Correspondence to O. P. Ermolaev.

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Original Russian Text © O.P. Ermolaev, K.A. Mal’tsev, S.S. Mukharamova, S.V. Kharchenko, E.A. Vedeneeva, 2017, published in Geografiya i Prirodnye Resursy, 2017, Vol. 38, No. 2, pp. 27-36.

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Ermolaev, O.P., Mal’tsev, K.A., Mukharamova, S.S. et al. Cartographic model of river basins of European Russia. Geogr. Nat. Resour. 38, 131–138 (2017). https://doi.org/10.1134/S1875372817020032

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  • DOI: https://doi.org/10.1134/S1875372817020032

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